16.7.4.7.2 Human Activities, Interacting with Objects

Chapter Contents (Back)
Action Recognition. Interactions. See also Human Activities, Interactions between People.

Cavallaro, R.H.[Richard H.], Gepner, J.N.[Jerry N.], Gloudemans, J.R.[James R.], Honey, S.K.[Stanley K.], Squadron, W.F.[William F.], White, M.S.[Marvin S.],
System for determining the position of an object,
US_Patent6,133,946, Oct 17, 2000
WWW Link. BibRef 0010

Cavallaro, R.H.[Richard H.], Gloudemans, J.R.[James R.], Honey, S.K.[Stanley K.], O'Brien, T.J.[Terence J.], Phillips, A.C.[Alan C.], Squadron, W.F.[William F.], White, M.S.[Marvin S.],
System for determining the end of a path for a moving object,
US_Patent6,304,665, Oct 16, 2001
WWW Link. BibRef 0110

Jiang, Y.G.[Yu-Gang], Li, Z., Chang, S.F.[Shih-Fu],
Modeling Scene and Object Contexts for Human Action Retrieval With Few Examples,
CirSysVideo(21), No. 5, May 2011, pp. 674-681.
IEEE DOI 1105
Context from the background scene. Based on 10 basic actions. BibRef

Shou, Z.[Zheng], Wang, D.A.[Dong-Ang], Chang, S.F.[Shih-Fu],
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs,
CVPR16(1049-1058)
IEEE DOI 1612
BibRef

Yao, B.P.[Bang-Peng], Fei-Fei, L.[Li],
Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses,
PAMI(34), No. 9, September 2012, pp. 1691-1703.
IEEE DOI 1208
BibRef
Earlier:
Modeling mutual context of object and human pose in human-object interaction activities,
CVPR10(17-24).
IEEE DOI Video of talk:
WWW Link. 1006
Award, CVPR, Student, HM. BibRef

Yao, B.P.[Bang-Peng], Fei-Fei, L.[Li],
Grouplet: A structured image representation for recognizing human and object interactions,
CVPR10(9-16).
IEEE DOI Video of talk:
WWW Link. 1006
BibRef

Yao, B.P.[Bang-Peng], Fei-Fei, L.[Li],
Action Recognition with Exemplar Based 2.5D Graph Matching,
ECCV12(IV: 173-186).
Springer DOI 1210
BibRef

Yao, B.P.[Bang-Peng], Jiang, X.Y.[Xiao-Ye], Khosla, A.[Aditya], Lin, A.L.[Andy Lai], Guibas, L.J.[Leonidas J.], Fei-Fei, L.[Li],
Human action recognition by learning bases of action attributes and parts,
ICCV11(1331-1338).
IEEE DOI 1201
Attributes of pose and basic actions. BibRef

Zhu, Y.[Yuke], Fathi, A.[Alireza], Fei-Fei, L.[Li],
Reasoning about Object Affordances in a Knowledge Base Representation,
ECCV14(II: 408-424).
Springer DOI 1408
BibRef

Cheng, S.C.[Shyi-Chyi], Cheng, K.Y.[Kwang-Yu], Chen, Y.P.P.[Yi-Ping Phoebe],
GHT-based associative memory learning and its application to Human action detection and classification,
PR(46), No. 11, November 2013, pp. 3117-3128.
Elsevier DOI 1306
Action object shapes; Generalized Hough transform; Associative memory; Hypergraph; Human action detection and recognition BibRef

Liu, H.W.[Hao-Wei], Philipose, M.[Matthai], Pettersson, M.[Martin], Sun, M.T.[Ming-Ting],
Recognizing object manipulation activities using depth and visual cues,
JVCIR(25), No. 4, 2014, pp. 719-726.
Elsevier DOI 1403
Activity recognition See also Automatic objects segmentation with RGB-D cameras. BibRef

Cavallo, A., Falco, P.,
Online Segmentation and Classification of Manipulation Actions From the Observation of Kinetostatic Data,
HMS(44), No. 2, April 2014, pp. 256-269.
IEEE DOI 1404
image classification BibRef

Xie, Z.G.[Zhi-Ge], Xiong, Y.S.[Yue-Shan], Xu, K.[Kai],
AB3D: action-based 3D descriptor for shape analysis,
VC(30), No. 6-8, June 2014, pp. 591-601.
Springer DOI 1407
BibRef
Earlier: Erratum: VC(30), No. 9, September 2014, pp. 1071.
WWW Link. 1410
3D models for human interactions. Graphics. BibRef

Darby, J.[John], Li, B.H.[Bai-Hua], Costen, N.P.[Nicholas P.],
Tracking object poses in the context of robust body pose estimates,
CVIU(127), No. 1, 2014, pp. 57-72.
Elsevier DOI 1408
Human-object interaction BibRef

Darby, J.[John], Li, B.H.[Bai-Hua], Cunningham, R.[Ryan], Costen, N.P.[Nicholas P.],
Object localisation via action recognition,
ICPR12(817-820).
WWW Link. 1302
Track objects in use by people BibRef

Hu, J.F.[Jian-Fang], Zheng, W.S.[Wei-Shi], Lai, J.H.[Jian-Huang], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Exemplar-Based Recognition of Human: Object Interactions,
CirSysVideo(26), No. 4, April 2016, pp. 647-660.
IEEE DOI 1604
BibRef
Earlier:
Recognising Human-Object Interaction via Exemplar Based Modelling,
ICCV13(3144-3151)
IEEE DOI 1403
image matching. Human-Object Interaction; action recognition; exemplar modelling BibRef

Bazzica, A.[Alessio], Liem, C.C.S.[Cynthia C.S.], Hanjalic, A.[Alan],
On detecting the playing/non-playing activity of musicians in symphonic music videos,
CVIU(144), No. 1, 2016, pp. 188-204.
Elsevier DOI 1604
Cross-modal analysis BibRef

Malmir, M.[Mohsen], Sikka, K.[Karan], Forster, D.[Deborah], Fasel, I.[Ian], Movellan, J.R.[Javier R.], Cottrell, G.W.[Garrison W.],
Deep active object recognition by joint label and action prediction,
CVIU(156), No. 1, 2017, pp. 128-137.
Elsevier DOI 1702
BibRef
Earlier: A1, A2, A3, A5, A6, Only:
Deep Q-learning for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning,
BMVC15(xx-yy).
DOI Link 1601
Active object recognition in the context of human robot interaction. BibRef

Srikantha, A.[Abhilash], Gall, J.[Juergen],
Weak supervision for detecting object classes from activities,
CVIU(156), No. 1, 2017, pp. 138-150.
Elsevier DOI 1702
BibRef
Earlier:
Human Pose as Context for Object Detection,
BMVC15(xx-yy).
DOI Link 1601
Weakly supervised BibRef

Aksoy, E.E.[Eren Erdal], Orhan, A.[Adil], Wörgötter, F.[Florentin],
Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences,
IJCV(122), No. 1, March 2017, pp. 84-115.
Springer DOI 1702
BibRef

Wei, P.[Ping], Zhao, Y.B.[Yi-Biao], Zheng, N.N.[Nan-Ning], Zhu, S.C.[Song-Chun],
Modeling 4D Human-Object Interactions for Joint Event Segmentation, Recognition, and Object Localization,
PAMI(39), No. 6, June 2017, pp. 1165-1179.
IEEE DOI 1705
BibRef
Earlier:
Modeling 4D Human-Object Interactions for Event and Object Recognition,
ICCV13(3272-3279)
IEEE DOI 1403
Context modeling, Hidden Markov models, Robots, Semantics, Solid modeling, Three-dimensional displays, Video sequences, Human-object interaction, event recognition, object affordance, object localization, sequence, segmentation BibRef

Pajarinen, J.[Joni], Kyrki, V.[Ville],
Robotic manipulation of multiple objects as a POMDP,
Artificial Intelligence(247), No. 1, 2017, pp. 213-228.
Elsevier DOI 1705
POMDP BibRef

Matsuo, T.[Tadashi], Shimada, N.[Nobutaka],
Construction of Latent Descriptor Space and Inference Model of Hand-Object Interactions,
IEICE(E100-D), No. 6, June 2017, pp. 1350-1359.
WWW Link. 1706
BibRef

Yu, H.N.[Hao-Nan], Siskind, J.M.[Jeffrey Mark],
Sentence Directed Video Object Codiscovery,
IJCV(124), No. 3, September 2017, pp. 312-334.
Springer DOI 1708
Not just large objects in the scene. BibRef


Schröder, M., Ritter, H.,
Hand-Object Interaction Detection with Fully Convolutional Networks,
ActionCh17(1236-1243)
IEEE DOI 1709
Computer architecture, Convolutional codes, Data models, Decoding, Labeling, Object tracking, Real-time, systems BibRef

Sermanet, P.[Pierre], Lynch, C.[Corey], Hsu, J.[Jasmine], Levine, S.[Sergey],
Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation,
DeepLearnRV17(486-487)
IEEE DOI 1709
Loss measurement, Robots, Training, Videos BibRef

Kim, J.W., You, S., Ji, S.H., Kim, H.S.,
Real-Time Hand Grasp Recognition Using Weakly Supervised Two-Stage Convolutional Neural Networks for Understanding Manipulation Actions,
DeepLearnRV17(481-483)
IEEE DOI 1709
Feature extraction, Grasping, Image recognition, Network architecture, Pattern recognition, Real-time, systems BibRef

Fire, A.[Amy], Zhu, S.C.[Song-Chun],
Inferring Hidden Statuses and Actions in Video by Causal Reasoning,
Cognition17(48-56)
IEEE DOI 1709
Hidden features of actions. Cognition, Computer vision, Feature extraction, Grammar, Hidden Markov models, Monitoring, Switches BibRef

Junokas, M.J., Kohlburn, G., Lane, B., Kumar, S., Fu, W.T., Lindgren, R.,
Gestural Interactions of Embodied Educational Technology Using One-Shot Machine Learning,
FG17(996-996)
IEEE DOI 1707
Adaptation models, Educational technology, Feature extraction, Gesture recognition, Hidden Markov models, Magnetic cores, Training BibRef

Ji, Y.L.[Yan-Li], Li, J.[Jia_Ming], Cheng, H.[Hong], Xu, X.[Xing], Song, J.[Jingkuan],
Multi-cue Information Fusion for Two-Layer Activity Recognition,
HIS16(III: 273-285).
Springer DOI 1704
Body motion and object interaction (NN), fuse for activities. BibRef

Meng, M., Drira, H., Daoudi, M., Boonaert, J.,
Human Object Interaction Recognition Using Rate-Invariant Shape Analysis of Inter Joint Distances Trajectories,
DIFF-CV16(999-1004)
IEEE DOI 1612
BibRef

Kera, H., Yonetani, R., Higuchi, K., Sato, Y.,
Discovering Objects of Joint Attention via First-Person Sensing,
Egocentric-C16(361-369)
IEEE DOI 1612
BibRef

Zhu, Y.X.[Yi-Xin], Jiang, C.F.[Chen-Fanfu], Zhao, Y.B.[Yi-Biao], Terzopoulos, D.[Demetri], Zhu, S.C.[Song-Chun],
Inferring Forces and Learning Human Utilities from Videos,
CVPR16(3823-3833)
IEEE DOI 1612
physical quantities when body interacts with objects. BibRef

Pinto, L.[Lerrel], Gandhi, D.[Dhiraj], Han, Y.[Yuanfeng], Park, Y.L.[Yong-Lae], Gupta, A.[Abhinav],
The Curious Robot: Learning Visual Representations via Physical Interactions,
ECCV16(II: 3-18).
Springer DOI 1611
BibRef

Mallya, A.[Arun], Lazebnik, S.[Svetlana],
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering,
ECCV16(I: 414-428).
Springer DOI 1611
BibRef

Hassan, M.[Mahmudul], Dharmaratne, A.[Anuja],
Attribute Based Affordance Detection from Human-Object Interaction Images,
RV15(220-232).
Springer DOI 1603
BibRef
And:
Labeling abnormalities in video based complex Human-Object Interactions by robust affordance modelling,
ICCVIA15(1-8)
IEEE DOI 1603
Bayes methods BibRef

Chao, Y.W., Wang, Z., He, Y., Wang, J., Deng, J.,
HICO: A Benchmark for Recognizing Human-Object Interactions in Images,
ICCV15(1017-1025)
IEEE DOI 1602
Benchmark testing BibRef

Sokeh, H.S.[Hajar Sadeghi], Gould, S.[Stephen], Renz, J.[Jochen],
Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning,
ACCV14(V: 550-563).
Springer DOI 1504
BibRef

Chen, C.Y.[Chao-Yeh], Grauman, K.[Kristen],
Predicting the Location of 'interactees' in Novel Human-Object Interactions,
ACCV14(I: 351-367).
Springer DOI 1504
BibRef

Yu, G.[Gang], Liu, Z.C.[Zi-Cheng], Yuan, J.S.[Jun-Song],
Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction,
ACCV14(V: 50-65).
Springer DOI 1504
BibRef

Kluth, T.[Tobias], Nakath, D.[David], Reineking, T.[Thomas], Zetzsche, C.[Christoph], Schill, K.[Kerstin],
Affordance-Based Object Recognition Using Interactions Obtained from a Utility Maximization Principle,
Affordance14(406-412).
Springer DOI 1504
BibRef

Amiri, S.M.[S. Mohsen], Pourazad, M.T.[Mahsa T.], Nasiopoulos, P.[Panos], Leung, V.C.M.[Victor C.M.],
A similarity measure for analyzing human activities using human-object interaction context,
ICIP14(2368-2372)
IEEE DOI 1502
Accuracy BibRef

Parks, D.[Daniel], Itti, L.[Laurent],
Integrating human context and occlusion reasoning to improve handheld object tracking,
ICIP14(436-440)
IEEE DOI 1502
Cognition BibRef

Liu, J.[Jing], Wu, X.X.[Xin-Xiao], Feng, Y.[Yang],
Modeling the Relationship of Action, Object, and Scene,
ICPR14(2005-2010)
IEEE DOI 1412
Accuracy BibRef

Ubalde, S.[Sebastian], Liu, Z.C.[Zi-Cheng], Mejail, M.[Marta],
Detecting Subtle Human-Object Interactions Using Kinect,
CIARP14(770-777).
Springer DOI 1411
BibRef

Srikantha, A.[Abhilash], Gall, J.[Juergen],
Discovering Object Classes from Activities,
ECCV14(VI: 415-430).
Springer DOI 1408
BibRef

Arteta, C.[Carlos], Lempitsky, V.[Victor], Zisserman, A.[Andrew],
Counting in the Wild,
ECCV16(VII: 483-498).
Springer DOI 1611
BibRef

Arteta, C.[Carlos], Lempitsky, V.[Victor], Noble, J.A.[J. Alison], Zisserman, A.[Andrew],
Interactive Object Counting,
ECCV14(III: 504-518).
Springer DOI 1408
BibRef

Yang, G.[Guang], Yin, Y.F.[Ya-Feng], Man, H.[Hong],
Human object interactions recognition based on social network analysis,
AIPR13(1-4)
IEEE DOI 1408
computer vision BibRef

Rybok, L.[Lukas], Schauerte, B.[Boris], Al-Halah, Z.[Ziad], Stiefelhagen, R.[Rainer],
'Important stuff, everywhere!' Activity recognition with salient proto-objects as context,
WACV14(646-651)
IEEE DOI 1406
Accuracy BibRef

Escorcia, V., Niebles, J.C.,
Spatio-temporal Human-Object Interactions for Action Recognition in Videos,
HACI13(508-514)
IEEE DOI 1403
interactive systems BibRef

Yao, B.P.[Bang-Peng], Ma, J.Y.[Jia-Yuan], Fei-Fei, L.[Li],
Discovering Object Functionality,
ICCV13(2512-2519)
IEEE DOI 1403
from dataset of interactions. BibRef

Xie, D.[Dan], Todorovic, S.[Sinisa], Zhu, S.C.[Song-Chun],
Inferring 'Dark Matter' and 'Dark Energy' from Videos,
ICCV13(2224-2231)
IEEE DOI 1403
localizing functional objects in surveillance videos. Based on trajectories. BibRef

Ni, B.B.[Bing-Bing], Moulin, P.[Pierre],
Manipulation Pattern Discovery: A Nonparametric Bayesian Approach,
ICCV13(1361-1368)
IEEE DOI 1403
BibRef

Desai, C.[Chaitanya], Ramanan, D.[Deva],
Detecting Actions, Poses, and Objects with Relational Phraselets,
ECCV12(IV: 158-172).
Springer DOI 1210
BibRef

Packer, B.[Ben], Saenko, K.[Kate], Koller, D.[Daphne],
A combined pose, object, and feature model for action understanding,
CVPR12(1378-1385).
IEEE DOI 1208
BibRef

Zhang, B.[Bang], Ye, G.[Getian], Wang, Y.[Yang], Wang, W.[Wei], Xu, J.[Jie], Herman, G.[Gunawan], Yang, Y.[Yun],
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition,
ICPR10(1541-1544).
IEEE DOI 1008
BibRef

Young, D.L.,
When to engage video resilience options,
AIPR13(1-8)
IEEE DOI 1408
error statistics BibRef

Young, D.L.,
Motion imagery metadata standards assist in object and activity classification,
AIPR10(1-4).
IEEE DOI 1010
BibRef

Utsumi, Y., Katte, M., Iwamura, M., Kise, K.,
Event Detection Based on Noisy Object Information,
ACPR13(572-575)
IEEE DOI 1408
object detection BibRef

Kojima, A.[Atsuhiro], Miki, H.[Hiroshi], Kise, K.[Koichi],
Object Recognition Based on n-gram Expression of Human Actions,
ICPR10(372-375).
IEEE DOI 1008
BibRef

Tavakkoli, A.[Alireza], Nicolescu, M.[Mircea], Bebis, G.N.[George N.],
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos,
ISVC10(III: 161-170).
Springer DOI 1011
BibRef

Higuchi, M., Aoki, S., Kojima, A., Fukunaga, K.,
Scene recognition based on relationship between human actions and objects,
ICPR04(III: 73-78).
IEEE DOI 0409
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Carried Objects, Carrying Objects .


Last update:Nov 11, 2017 at 13:31:57